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Data Fusion for Sensory Information Processing Systems

  • Livre Relié
  • 268 Nombre de pages
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The science associated with the development of artificial sen sory systems is occupied primarily with determining how information ... Lire la suite
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Description

The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro cess.

Texte du rabat

The science associated with the development of artificial sen­ sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de­ velopment of algorithms for distilling information about the world and recognition of various objects in the environ­ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa­ tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo­ tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un­ derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro­ cess.



Contenu

1 Introduction: The Role of Data Fusion in Sensory Systems.- 2 Bayesian Sensory Information Processing.- 3 Information Processing Using Energy Function Minimization.- 4 Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods.- 5 Data Fusion Applied to Feature Based Stereo Algorithms.- 6 Fusing Binocular and Monocular Depth Cues.- 7 Data Fusion in Shape from Shading Algorithms.- 8 Temporal Aspects of Data Fusion.- 9 Towards a Constraint Based Theory of Sensory Data Fusion.

Informations sur le produit

Titre: Data Fusion for Sensory Information Processing Systems
Auteur:
Code EAN: 9780792391203
ISBN: 0792391209
Format: Livre Relié
Editeur: Springer US
Genre: Electrotechnique
nombre de pages: 268
Poids: 571g
Taille: H241mm x B160mm x T19mm
Année: 1990
Auflage: 1990

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